一、團隊名稱
糧油現(xiàn)代檢測與智能裝備團隊
二、團隊介紹
團隊研究方向：基于光電技術的糧油安全品質無損檢測技術與裝備；糧油非熱加工技術。
主要研究內容包括：團隊成員一直專注于糧油儲運安全與農(nóng)產(chǎn)品光電檢測理論與裝備方面的研究工作，在光譜圖像分析方法、光電檢測平臺構建與設備開發(fā)和真菌毒素污染檢測與控制、低溫等離子體技術等領域具有較為豐富的研究經(jīng)驗。
團隊近五年承擔國家重點研發(fā)計劃子課題、國家自然科學基金、江蘇省自然科學基金、江蘇省現(xiàn)代農(nóng)機裝備與技術示范推廣項目等國家省部級科研項目10項；發(fā)表SCI文章14篇，授權發(fā)明專利2項。
三、科研成果
1代表性的科研項目
1）2022/01-2025/12, 國家自然科學基金面上項目（32172306）
2）2018/01-2021/12, 國家自然科學基金面上項目（31772061）
3）2020/06-2023/05, 國家戰(zhàn)略性國際合作專項子課題（2020YFE0200200）
4）2016/08-2020/12, “十三五”國家重點研發(fā)計劃子課題（2017YFD0400401）
5）2020/12-2022/12, 江蘇省現(xiàn)代農(nóng)機裝備與技術示范推廣項目（NJ2020-20）
6）2021/07-2024/06, 江蘇省自然科學基金面上項目（BK20211291）
7）2019/07-2022/06, 江蘇省農(nóng)業(yè)科技自主創(chuàng)新資金項目子課題（CX(19)2005）
8）2018/01-2020/12, 浙江省重點研發(fā)計劃子課題（2018C02050）
9）2020/07-2023/06,江蘇省科技廳自然科學基金項目-青年項目（BK20200832）
10）2022/01-2024/12國家自然科學基金項目（理工類）-青年基金（32101618）
2代表性論文
1）Xueming He, Yue Zhang, Xiaoyun Yang, Min Chen, Yanyan Pang, Fei Shen*, Yong Fang, Qin Liu, Qiuhui Hu. Estimating bulk optical properties of AFB1 contaminated edible oils in 300-900 nm by combining double integrating spheres technique with laser induced fluorescence spectroscopy. Food Chemistry, 2021, https://doi.org/10.1016/j.foodchem.2021.131666.
2）Xueming He, Tianxia Zhao, Fei Shen*, Qin Liu, Yong Fang, & Qiuhui Hu. Online detection of naturally DON contaminated wheat grains from China using Vis-NIR spectroscopy and computer vision. Biosystems Engineering, 2021, 201, 1-10.
3）Bin Zhang, Xuesong Jiang, Fei Shen*, Xueming He, Yong Fang, & Qiuhui Hu. Rapid screening of DON contamination in whole wheat meals by VisNIR spectroscopy and computer vision coupling technology. International Journal of Food Science & Technology, 2021, 56, 2588–2595.
4）Min Chen, Xueming He*, Yanyan Pang, Fei Shen*, Yong Fang, & Qiuhui Hu. Laser induced fluorescence spectroscopy for detection of aflatoxin B1 contamination in peanut oil. Journal of Food Measurement and Characterization, 2021, 15, 2231–2239.
5）Fei Shen, Yi Huang, Xuesong Jiang, Yong Fang*, Peng Li, Qin Liu, Qiuhui Hu, & Xingquan Liu. On-line prediction of hazardous fungal contamination in stored maize by integrating Vis NIR spectroscopy and computer vision. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2020, 229, 118012.
6）Tianxia Zhao, Min Chen, Xuesong Jiang, Fei Shen*, Xueming He, Yong Fang, Qin Liu, & Qiuhui Hu. Integration of spectra and image features of Vis/NIR hyperspectral imaging for prediction of deoxynivalenol contamination in whole wheat flour. Infrared Physics and Technology, 2020, 109, 103426
7）Fei Shen, Tianxia Zhao, Xuesong Jiang, Xiao Liu, Yong Fang*, Qing Liu, Qiuhui Hu, & Xingquan Liu. On-line detection of toxigenic fungal infection in wheat by visible near infrared spectroscopy. LWT - Food Science and Technology, 2019, 109, 219-224.
8）Fei Shen*, Qifang Wu, Peng Liu, Xuesong Jiang, Yong Fang, Chongjiang Cao. Detection of Aspergillus spp. contamination levels in peanuts by near infrared spectroscopy and electronic nose. Food Control, 2018, 93, 1-8.
9）Fei Shen*, Bin Zhang, Chongjiang Cao, & Xuesong Jiang. On-line discrimination of storage shelf-life and prediction of post-harvest quality for strawberry fruit by visible and near infrared spectroscopy. Journal of Food Process Engineering, 2018, 41, e12866.
10）Fei Shen*, Qifang Wu, Xiaolong Shao, & Qiang Zhang. Non-destructive and rapid evaluation of aflatoxins in brown rice by using near-infrared and mid-infrared spectroscopic techniques. Journal of Food Science and Technology, 2018, 55:1175-1184.
11）Fei Shen*, Qifang Wu, Yingqi Wei, Xiao Liu, & Peian Tang. Evaluation of near-infrared and mid-infrared spectroscopy for the determination of routine parameters in Chinese rice wine. Journal of Food Processing and Preservation, 2017, 41, e12952.
12）He X , Hu D , Fu X , et al. Spatial frequency domain imaging for determining absorption and scattering properties of bruised pears based on profile corrected diffused reflectance[J]. Postharvest Biology and Technology, 2021, 179:111570.
13）He X, Yang X, Fu X, et al. Assessing soluble solid content and texture of pear during shelf-life period by single snapshot spatial frequency domain imaging[J]. Biosystems Engineering, 2021, 212: 252-263.
14）He X, Yan C, Jiang X, et al. Classification of aflatoxin B1 naturally contaminated peanut using visible and near-infrared hyperspectral imaging by integrating spectral and texture features[J]. Infrared Physics & Technology, 2021, 114: 103652.
3代表性專利
1）沈飛, 黃怡, 方勇, 李彭, 裴斐, 邢常瑞, 袁建, 鞠興榮. 基于光譜和圖像信息融合的霉變玉米在線檢測方法. 授權日期：2021-1-26, ZL201810458679.7.
2）沈飛, 吳啟芳. 基于衰減全反射傅里葉變換紅外光譜技術的糙米中黃曲霉毒素含量的快速檢測方法, 授權日期：2018-8-21, ZL201510447345.6.
四、研究生畢業(yè)去向
1.攻讀博士學位：推薦到浙江大學、南京農(nóng)業(yè)大學等單位攻讀博士學位。
2.企事業(yè)單位：諾唯贊、安徽科技學院、MDPI出版公司等企事業(yè)單位。
3.報考公務員：報考各級政府部門公務員。
五、聯(lián)系方式
團隊負責人：沈飛
聯(lián)系人：沈飛、何學明
郵箱：shenfei@nufe.edu.cn，he_xueming@nufe.edu.cn
